Method and device for error masking in digital transmission systems

Abstract

With a method and a device for error masking in digital transmission systems whereby a distribution function for estimating transmitted parameters is determined at the receiving end, the method provides that a distribution function is adjusted around the output signal value of a predictor and is integrated by sections into a new distribution function; this new distribution function is multiplied by a distribution function which takes the received quality into consideration and the result of an a posteriori distribution which can be used with conventional estimation methods for the final parameter estimation.

What is claimed is:  
     
       1. A method for error masking and improvement of the signal quality in digital transmission systems, in which a distribution function for estimating transmitted parameters, including final estimated transmitted parameters, is determined at a receiving end of the digital transmission systems and uses an estimation method for generating the final estimated transmitted parameters, characterized in that a distribution function is adjusted around the output value of a predictor, and is integrated by sections into a new distribution function, and this new distribution function is multiplied by a distribution function which takes into account the reception quality and the result of an a posteriori distribution which is used with the estimation method for the generation, of the final estimated transmitted parameters. 
     
     
       2. A method for carrying out error masking claimed in  claim 1 , wherein the predictor receives an input signal and characterized in that earlier estimated parameters form the input signal to the predictor. 
     
     
       3. A method for carrying out error masking as claimed in  claim 2 , characterized in that the received parameters, or a mixture of earlier estimated parameters and the received parameters, form the input signal to the predictor. 
     
     
       4. A method for carrying out error masking as claimed in  claim 1 , characterized in that the predictor operates with one or several fixed sets of coefficients. 
     
     
       5. A method for carrying out error masking as claimed in  claim 3 , characterized in that the predictor operates with adaptively tracked sets of coefficients. 
     
     
       6. A method for carrying out error masking as claimed in  claim 1 , characterized in that the output value of the predictor is quantized for further processing. 
     
     
       7. A method for carrying out error masking as claimed in  claim 1 , characterized in that the distribution functions are available in discreted form, and the integration evolves into an aggregation. 
     
     
       8. A method for carrying out error masking as claimed in  claim 1 , characterized in that a distribution function which must be adjusted is stored in the receiver. 
     
     
       9. A method for carrying out error masking as claimed in  claim 7 , characterized in that several distribution functions are stored in the receiver and those that must be adjusted are selected in accordance with suitable criteria. 
     
     
       10. A method for carrying out error masking as claimed in  claim 7 , characterized in that one or several distribution functions are stored in the receiver, one is selected in accordance with suitable criteria, and the distribution function that must be adjusted is formed by selecting suitable signal values from the selected distribution function. 
     
     
       11. A method for carrying out error masking as claimed in  claim 1 , characterized in that the distribution function to be adjusted is entirely or partially calculated. 
     
     
       12. A method for carrying out error masking as claimed in  claim 1 , characterized in that the adjusting of the distribution function is performed by means of suitable addressing. 
     
     
       13. A method for carrying out error masking as claimed in  claim 1 , characterized in that the a posteriori distribution function is normalized to the aggregation signal value of one. 
     
     
       14. A method for carrying out error masking as claimed in  claim 1 , characterized in that the distribution function, which takes received quality into consideration, is uniformly distributed. 
     
     
       15. A method for carrying out error masking as claimed in  claim 1 , characterized in that the distribution function used for parameter estimation is targeted to minimize quadratic error associated with the signal quality. 
     
     
       16. A device for error masking and improvement of the signal quality in digital transmission systems, in which a distribution function for estimating transmitted parameters indicating final estimated transmitted parameters, is determined at a receiving end of the digital transmission systems and uses an estimation method for generating the final estimated transmitted parameters by a distribution function estimating means, wherein the distribution function estimating means has means for causing the distribution function to be adjusted around the output value of a predictor, and to be integrated by sections into a new distribution function, and further having means for multiplying the new distribution function by a distribution function that takes into account the reception quality as well as the result of an a posteriori distribution which is used with the estimation method for determining the final estimated transmitted parameters.